New York City Health Atlas

Injury ER Visits

Compare This Metric

Description

Number of emergency room visits for injuries, poisonings, or accidents.


Calculation

Number of ER visits for injuries per 1,000 population.


Source

Statewide Planning and Research Cooperative System (SPARCS) Outpatient Data, 2011-2013.


Years of Data

2011-2013


Additional Resources

City Wide Average

76.0

Census Tract 1015700 Average

36.3

Averages

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76.0 City-Wide
65.8 Manhattan
36.3 Tract

Census Tract 1015700

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Injury ER Visit Rate Population (2011-2013)
All 36.3 30,997

Sex

Female 44.4 14,647
Male 43.4 16,349

Race/Ethnicity

Asian/Pacific Islander 31.7 1,200
Black 601.0 386
Hispanic 157.9 1,944
White 15.1 26,902

Age

0-14 years 56.8 3,223
15-24 years 72.1 2,163
25-34 years 26.8 6,980
35-44 years 25.9 5,720
45-54 years 37.7 4,242
55-64 years 39.1 3,427
65-74 years 38.2 2,353
75+ years 23.3 2,875
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Correlation Is Not Causation

In statistics, correlation is a measure of association between two numeric variables. The strength of correlation between two variables is represented by the correlation coefficient, represented by the abbreviation r. Correlation coefficients range between -1 to 1.

Though the correlation coefficient indicates the strength of an association, it does not provide information about whether the change in one variable is caused by the other.

For example, if the correlation between adult smoking prevalence and child poverty is 0.7—a strong correlation—we cannot say either that adult smoking causes child poverty or, inversely, that child poverty causes smoking. We only know that as one of these variables increases, the other tends to increases.